high performance computing on graphics processing units: hgpu.org

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Real-time video watermarking on programmable graphics hardware

Alan Brunton, Jiying Zhao

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Tags: ATI, ATI Radeon 9500 Pro, Image processing, nVidia, nVidia GeForce 6800, Pixel shaders, Security

August 2, 2011 by hgpu

A Hybrid Method for Computing Apparent Ridges

Eric Jardim, Luiz Henrique de Figueiredo

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 8200 M, nVidia Quadro FX 5600, Rendering

August 2, 2011 by hgpu

Real-time color holographic video display system

Fahri Yaras, Hoonjong Kang, Levent Onural

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Tags: Algorithms, Computer holography, Computer science, nVidia, nVidia GeForce GTX 280, Real-time graphics

August 2, 2011 by hgpu

Hyperfast Parallel–Beam Backprojection

Marc Kachelriess, Michael Knaup, Olivier Bockenbach

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Tags: Algorithms, Cell processor, Computer science, Data mining, Distributed computing, Image reconstruction, Nearest neighbour, Performance, Tomography

August 2, 2011 by hgpu

Unifying stream based and reconfigurable computing to design application accelerators

Bruno Francisco, Frederico Pratas, Leonel Sousa

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Tags: Bioinformatics, Biology, Computer science, Data parallelism, FPGA, nVidia, nVidia GeForce GTX 285

August 2, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

Cost-effective low-power graphics processing unit for handheld devices

Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo

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Tags: Computer science, Hardware Architecture, OpenGL, Review

August 2, 2011 by hgpu

Performance Debugging of GPGPU Applications with the Divergence Map

Bruno Coutinho, Diogo Sampaio, Fernando M. Q. Pereira, Wagner Meira Jr.

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, PTX

August 1, 2011 by hgpu

Real-time free viewpoint video from uncalibrated cameras using plane-sweep algorithm

Songkran Jarusirisawad, Hideo Saito, Vicent Nozick

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8600 M GT, OpenGL, Real-time graphics, Rendering, Virtual reality

August 1, 2011 by hgpu

Adaptive, real-time visual simultaneous localization and mapping

Brian Clipp, Christopher Zach, Jongwoo Lim, Jan-Michael Frahm, Marc Pollefeys

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Tags: Computer science, Computer vision, CUDA, nVidia, Optical flow, Optimization, SIFT, Video tracking

August 1, 2011 by hgpu

Real-time Volumetric Haptic and Visual Burrhole Simulation

Eric Acosta, Alan Liu

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering, Surgical simulation, Virtual reality

August 1, 2011 by hgpu

Towards an embedded biologically-inspired machine vision processor

Vinay Sriram, David Cox, Kuen Hung Tsoi, Wayne Luk

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Tags: Algorithms, ASIC, Computer science, Computer vision, FPGA, Image recognition, nVidia, Tesla C1060

August 1, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Real-time video watermarking on programmable graphics hardware

A Hybrid Method for Computing Apparent Ridges

Real-time color holographic video display system

Hyperfast Parallel–Beam Backprojection

Unifying stream based and reconfigurable computing to design application accelerators

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

Cost-effective low-power graphics processing unit for handheld devices

Performance Debugging of GPGPU Applications with the Divergence Map

Real-time free viewpoint video from uncalibrated cameras using plane-sweep algorithm

Adaptive, real-time visual simultaneous localization and mapping

Real-time Volumetric Haptic and Visual Burrhole Simulation

Towards an embedded biologically-inspired machine vision processor

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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